CLARA |
1.0
|
metric=euclidean k=261 samples=20 |
Clustering |
Self Organizing Maps |
1.0
|
x=105 y=21 |
Clustering |
Spectral Clustering |
1.0
|
k=84 |
Clustering |
clusterdp |
1.0
|
k=6 dc=10.10258492774113 |
Clustering |
HDBSCAN |
1.0
|
minPts=3 k=76 |
Clustering |
AGNES |
1.0
|
method=complete metric=euclidean k=54 |
Clustering |
c-Means |
1.0
|
k=139 m=5.0 |
Clustering |
k-Medoids (PAM) |
1.0
|
k=66 |
Clustering |
DIANA |
1.0
|
metric=euclidean k=134 |
Clustering |
DBSCAN |
1.0
|
eps=0.0 MinPts=11 |
Clustering |
Hierarchical Clustering |
1.0
|
method=complete k=235 |
Clustering |
fanny |
1.0
|
k=148 membexp=2.0 |
Clustering |
k-Means |
1.0
|
k=188 nstart=10 |
Clustering |
DensityCut |
1.0
|
alpha=0.01984126984126984 K=7 |
Clustering |
clusterONE |
0.0
|
s=104 d=0.8 |
Clustering |
Affinity Propagation |
1.0
|
dampfact=0.845 preference=30.307754783223388 maxits=5000 convits=425 |
Clustering |
Markov Clustering |
0.0
|
I=8.182582582582583 |
Clustering |
Transitivity Clustering |
1.0
|
T=26.84921219534805 |
Clustering |
MCODE |
1.0
|
v=0.2 cutoff=26.519285435320466 haircut=F fluff=F |
Clustering |